1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning
Hao Liu, Jinrui Gan, Xiaoxuan Fan +8
Self-supervised learning has been actively studied in time series domain recently, especially for masked reconstruction. Most of these methods follow the "Pre-training + Fine-tunin…
cs.IR2023★ 1 cited
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System
Jie Zhou, Qian Yu, Chuan Luo +1
In recent years, thanks to the rapid development of deep learning (DL), DL-based multi-task learning (MTL) has made significant progress, and it has been successfully applied to re…